Let’s assume that we want to draw our data in a ggplot2barplot. Then, we might try to use the following R code: ggplot(data, aes(Group, mean))+# ggplot function leads to errorgeom_bar(stat="identity")# Don't know how to automatically pick scale for object of type standardGeneric....
object of type ‘symbol‘ is not subsettable 重现问题的步骤 代码语言:javascript 代码运行次数:0 运行 AI代码解释 library(survminer) #> Le chargement a nécessité le package : ggplot2 #> Le chargement a nécessité le package : ggpubr #> Warning: le package 'ggpubr' a été compilé avec...
object of type ‘symbol‘ is not subsettable 重现问题的步骤 library(survminer) #> Le chargement a nécessité le package : ggplot2 #> Le chargement a nécessité le package : ggpubr #> Warning: le package 'ggpubr' a été compilé avec la version R 3.4.3 #> Le chargement a nécessit...
Warning message:In install.packages("ggplot2"):installation of package ‘ggplot2’ had non-zero exit status 2. 成功安装 >options(pkgType="binary")>install.packages("ggplot2")>将程序包安装入‘C:/Users/chen_/Documents/R/win-library/4.1’(因为‘lib’没有被指定)有二进制版本(将被安装),但源...
"ggplot2" "Seurat" "SeuratObject" ## [6] "sp" "knitr" "openxlsx" "HGNChelper" "dplyr" ## [11] "stats" "graphics" "grDevices" "utils" "datasets" ## [16] "methods" "base" ## ## [[3]] ## [1] "lubridate" "forcats" "stringr" "purrr" "readr" ## [6] "tidyr" "...
R 安装#从GitHub安装 devtools::install_github("cafferychen777/mLLMCelltype", subdir ="R") 示例# Load required packages library(mLLMCelltype) library(Seurat) library(dplyr) library(ggplot2) library(cowplot)# Added for plot_grid # Load your preprocessed Seurat object pbmc <- readRDS("your_...
mLLMCelltype是基于大语言模型的单细胞RNA测序细胞类型注释工具,通过多模型共识和迭代审议提升注释精度,减少手动注释时间和提高可靠性,适用于大规模单细胞数据分析,支持多种语言和模型,代码开源。
R语言line函数density参数r语言linear regression 一、回归函数通过不同的X(predictor,independent variable, covariate, input, etc.)去估计Y值(the dependent variable, output, response, etc.)回归分析: 一种通过分析两个或多个变量间关系,以达到可以通过其他量的值来预测所需量的值的统计学方法。 也就是说,等...
The visualization of the results was carried out using the ggplot2 and rms package within the R program. The included study population was stratified based on the presence of single lesion and multiple vessel lesions. The output of normally distributed variables was expressed as mean ± ...
Python version 3.8.11 and R version 4.0.5 were used for downstream analysis with the following packages: torch (version 1.7.1), scanpy (version 1.7.1), Seurat (version 4.1.0), ggplot2 (3.3.5), ComplexHeatmap (2.10.0), gam (1.22), and their dependent packages. Attention embedding prep...